Data Scientist • Mid-Level

Who you are

You have strong programming skills in Python and SQL, which you have used to analyze complex datasets and create effective data solutions. Your experience in the financial industry, while preferred, is not mandatory, but you possess a keen attention to detail and a love for process. You excel in organization and communication, allowing you to engage effectively with vendors and investment teams alike. Your interpersonal skills enable you to collaborate seamlessly within a small team of Data Scientists, ensuring the smooth operation of a large research infrastructure. You are comfortable exercising sound judgment when handling queries and requests, demonstrating your ability to navigate complex data environments.

Desirable

Experience with AWS and Airflow is preferred, as these tools will enhance your ability to create and maintain data ingestion pipelines. A background in finance will be beneficial, but your analytical mindset and problem-solving skills are what truly set you apart. You are eager to learn and adapt, ready to tackle the challenges that come with working in a fast-paced trading environment.

What you'll do

As a Data Scientist at Cubist, you will analyze financial datasets and prepare comprehensive reports for investment teams, ensuring they have access to timely and accurate information. You will create derived data content and develop data ingestion pipelines that streamline the flow of information. Identifying potential data sources will be a key part of your role, as you engage with vendors to understand the characteristics of various datasets. You will also define and automate qualitative data checks, ensuring the integrity of the data used in trading strategies. Your contributions will directly support the live production trading of billions of dollars across global capital markets, including equities, futures, and options.

In addition to your technical responsibilities, you will assist with data-related questions and requests from investment teams, providing insights and solutions that enhance their decision-making processes. You will create and maintain internal documentation on datasets, ensuring that your team has a clear understanding of the data landscape. Your role will be pivotal in empowering predictive modeling in finance, as you collaborate with colleagues to build elegant and scalable solutions that meet the demands of systematic trading.

What we offer

At Point72, you will be part of a dedicated team that values collaboration and innovation. We offer a dynamic work environment where your contributions will have a significant impact on our trading strategies. You will have the opportunity to work with cutting-edge technologies and methodologies, enhancing your skills and expertise in data science and finance. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering a diverse and inclusive workplace. Join us in shaping the future of systematic trading and making a difference in the financial markets.